5. Emotions are core to purchase decisions
vs.
http://www.today.mccombs.utexas.edu/2010/04/do-you-make-buying-decisions-based-on-logic-
or-emotion-a-tale-of-two-chickens
21. Example 6: Intent to Buy
fact brand subject
intent
brand brand
question
22. The elusive hunt for binary
âąâŻ For vs. Against
âąâŻ Like vs. Dislike
âąâŻ Good vs. Bad
âąâŻ Ecstatic vs. Happy
âąâŻ Excited vs. Amused
âąâŻ ROFL vs. LOL
âąâŻ Depressed vs. Unhappy
âąâŻ Sad vs. Destitute
âąâŻ Frustrated vs. Angry
23. Challenges of Automated Sentiment Analysis
§ï§âŻ People express opinions in
complex ways
§ï§âŻ Cultural ideosyncracies
(e.g. differences in sarcasm,
irony etc)
§ï§âŻ The wider you throw your net
and the more complex the
language, the less accurate
the system will be.
25. Use Case 1: Get to the heart of the News
In real time listen for spikes in mention
volumes to identify the latest news stories
26. Use Case 2: Faster Content Crowdsourcing
Once there is a breaking story, quickly
identify all the images, videos and public
created content on a topic
30. Use Case 6: Competitive Intelligence
Get real-time
insights on your
competitors
- Sun Tzu
âKnow your enemy and know
yourself and you can ïŹght a
hundred battles without disasterâ